ML Developer for Cancer Detection Project
Budget: ₹1,500 – ₹12,500 INR
Title:
Need ML Project Developer for Breast Cancer Image Classification (with Report & PPT)
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Description:
I am looking for a Machine Learning project developer to complete my academic project related to image classification for breast cancer detection.
The dataset (images of cancerous and normal breast tissue) will be provided. The goal is to train a machine learning/deep learning model to classify whether a patient has breast cancer or not.
Project Requirements:
Develop and train the model using Python (TensorFlow/Keras or PyTorch)
Implement image preprocessing, data augmentation, and model evaluation
Achieve good accuracy, precision, recall, and F1-score
Provide a detailed project report (Word or PDF) explaining:
Problem statement & objectives
Dataset description
Model architecture & methodology
Results and analysis (with graphs, confusion matrix, etc.)
Conclusion and future scope
Provide a PowerPoint presentation (PPT) summarizing the project for final submission
Include clear code comments and step-by-step explanation so I can understand and demonstrate it
Final deliverable should include:
Source code (training + testing + inference scripts)
Trained model file
Project report
PPT presentation
Short explanation of how to run and verify the code
Skills Required:
Machine Learning / Deep Learning
CNN / Image Classification
Python, TensorFlow/Keras (or PyTorch)
Data preprocessing & augmentation
Report and presentation preparation
Additional Info:
The dataset consists of breast cancer and normal breast images, which will be shared after project confirmation. The final model should be able to predict whether an input image indicates cancer or not, and I should be able to run the code to verify results.
Need ML Project Developer for Breast Cancer Image Classification (with Report & PPT)
---
Description:
I am looking for a Machine Learning project developer to complete my academic project related to image classification for breast cancer detection.
The dataset (images of cancerous and normal breast tissue) will be provided. The goal is to train a machine learning/deep learning model to classify whether a patient has breast cancer or not.
Project Requirements:
Develop and train the model using Python (TensorFlow/Keras or PyTorch)
Implement image preprocessing, data augmentation, and model evaluation
Achieve good accuracy, precision, recall, and F1-score
Provide a detailed project report (Word or PDF) explaining:
Problem statement & objectives
Dataset description
Model architecture & methodology
Results and analysis (with graphs, confusion matrix, etc.)
Conclusion and future scope
Provide a PowerPoint presentation (PPT) summarizing the project for final submission
Include clear code comments and step-by-step explanation so I can understand and demonstrate it
Final deliverable should include:
Source code (training + testing + inference scripts)
Trained model file
Project report
PPT presentation
Short explanation of how to run and verify the code
Skills Required:
Machine Learning / Deep Learning
CNN / Image Classification
Python, TensorFlow/Keras (or PyTorch)
Data preprocessing & augmentation
Report and presentation preparation
Additional Info:
The dataset consists of breast cancer and normal breast images, which will be shared after project confirmation. The final model should be able to predict whether an input image indicates cancer or not, and I should be able to run the code to verify results.